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Highlights

Organizations

@kobinpy @kubeflow

Sponsors

@MasatoraAtarashi @unasuke @arayaryoma

Sponsoring

@scoder @unasuke @django

Pinned

  1. Building powerful interactive prompts in Go, inspired by python-prompt-toolkit.

    Go 3.2k 168

  2. An interactive kubernetes client featuring auto-complete.

    Go 1.4k 90

  3. Distributed hyperparameter optimization framework, inspired by Optuna.

    Go 143 6

  4. rtmp Archived

    Server implementation of Adobe's RTMP 1.0 protocol in Go.

    Go 117 15

  5. A hyperparameter optimization framework

    Python 2.9k 332

  6. Lightweight Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation for Python.

    Python 42 9

2,878 contributions in the last year

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Contribution activity

August 2020

Created a pull request in optuna/optuna that received 7 comments

Make TPE categorical sampling faster

Motivation The cardinality of categorical parameters tends to be lower than n_ei_candidates (default: 24). Description of the changes Use np.arang…

+5 −2 7 comments

Created an issue in c-bata/goptuna that received 3 comments

Support OrdinalChoicesDistribution for Kubeflow/Katib.

See the following code comment of Katib. // Use categorical distribution instead of goptuna.DiscreteUniformDistribution // because goptuna.Discrete…

3 comments
187 contributions in private repositories Aug 1 – Aug 21

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